{"url":"/dataset/deepscores","name":"DeepScores","full_name":null,"description_markdown":"DeepScores contains high quality images of musical scores, partitioned into 300,000 sheets of written music that contain symbols of different shapes and sizes. For advancing the state-of-the-art in small objects recognition, and by placing the question of object recognition in the context of scene understanding.\r\n\r\nSource: [DeepScores -- A Dataset for Segmentation, Detection and Classification of Tiny Objects](/paper/deepscores-a-dataset-for-segmentation)\r\nImage Source: [https://tuggeluk.github.io/deepscores/](https://tuggeluk.github.io/deepscores/)","description_withheld":null,"homepage":"https://tuggeluk.github.io/deepscores/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/deepscores-a-dataset-for-segmentation","title":"DeepScores -- A Dataset for Segmentation, Detection and Classification of Tiny Objects","first_author":"Lukas Tuggener","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"},{"name":"Scene Understanding","url":"/task/scene-understanding","datasets_with_task":"/datasets/task/scene-understanding"},{"name":"Object Recognition","url":"/task/object-recognition","datasets_with_task":"/datasets/task/object-recognition"}],"languages":[],"variants":["DeepScores"],"data_loaders":[],"num_papers_in_archive":10,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}